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==========================
NumPy 1.15.4 Release Notes
==========================
This is a bugfix release for bugs and regressions reported following the 1.15.3
release. The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.
Compatibility Note
==================
The NumPy 1.15.x OS X wheels released on PyPI no longer contain 32-bit
binaries. That will also be the case in future releases. See
`#11625 <https://github.com/numpy/numpy/issues/11625>`__ for the related
discussion. Those needing 32-bit support should look elsewhere or build
from source.
Contributors
============
A total of 4 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.
* Charles Harris
* Matti Picus
* Sebastian Berg
* bbbbbbbbba +
Pull requests merged
====================
A total of 4 pull requests were merged for this release.
* `#12296 <https://github.com/numpy/numpy/pull/12296>`__: BUG: Dealloc cached buffer info
* `#12297 <https://github.com/numpy/numpy/pull/12297>`__: BUG: Fix fill value in masked array '==' and '!=' ops.
* `#12307 <https://github.com/numpy/numpy/pull/12307>`__: DOC: Correct the default value of `optimize` in `numpy.einsum`
* `#12320 <https://github.com/numpy/numpy/pull/12320>`__: REL: Prepare for the NumPy 1.15.4 release
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